Junior Quantum Computing Engineer, Working Student (m/f/d)

Role overview Turn quantum-computing research into tested implementations and help advance projects focused especially on combinatorial optimization. The work combines reading and evaluating new methods, comparing quantum approaches with classical baselines, and collaborating with research partners in industry and academia.

Responsibilities - Implement and test quantum algorithms and methods selected for project needs. - Reproduce approaches from research papers and assess whether they work in practice. - Benchmark quantum methods against classical alternatives. - Contribute to research projects with external industry and academic partners. - Track developments in quantum computing and bring relevant ideas to the team.

Requirements - Current enrollment in physics, computer science, mathematics or a related subject; later bachelor’s or master’s study is a good fit. - A solid foundation in quantum computing through coursework, a thesis or independent projects. - Working understanding of combinatorial optimization, including objectives, constraints and sources of difficulty. - Hands-on experience with Qiskit or a comparable framework. - Python skills and an interest in writing clear, maintainable code. - Availability to work in Munich or remotely from elsewhere in Germany, and receptiveness to feedback.

Nice to have - Knowledge of quantum machine learning, quantum chemistry or simulation. Classical machine learning can complement, but does not substitute for, quantum-computing experience.

Benefits and work setup - Flexible working arrangements that can adapt to study and exam periods. - Research work connected to industry projects, with a chance to influence the quantum software stack. - Munich office, team events and a fitness membership.